RDF description Unai Zulaika Zurimendi

PhD Student


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Oct. 2016  -  Present
unai.zulaika [at] deusto.es



[u' @article{sanchez-corcuera_smart_2019, title = {Smart cities survey: {Technologies}, application domains and challenges for the cities of the future}, volume = {15}, issn = {1550-1477}, shorttitle = {Smart cities survey}, url = {https://doi.org/10.1177/1550147719853984}, doi = {10.1177/1550147719853984}, abstract = {The introduction of the Information and Communication Technologies throughout the last decades has created a trend of providing daily objects with smartness, aiming to make human life more comfortable. The paradigm of Smart Cities arises as a response to the goal of creating the city of the future, where (1) the well-being and rights of their citizens are guaranteed, (2) industry and (3) urban planning is assessed from an environmental and sustainable viewpoint. Smart Cities still face some challenges in their implementation, but gradually more research projects of Smart Cities are funded and executed. Moreover, cities from all around the globe are implementing Smart City features to improve services or the quality of life of their citizens. Through this article, (1) we go through various definitions of Smart Cities in the literature, (2) we review the technologies and methodologies used nowadays, (3) we summarise the different domains of applications where these technologies and methodologies are applied (e.g. health and education), (4) we show the cities that have integrated the Smart City paradigm in their daily functioning and (5) we provide a review of the open research challenges. Finally, we discuss about the future opportunities for Smart Cities and the issues that must be tackled in order to move towards the cities of the future.}, language = {en}, number = {6}, urldate = {2019-06-10}, journal = {International Journal of Distributed Sensor Networks}, author = {S\xe1nchez-Corcuera, Ruben and Nu\xf1ez-Marcos, Adri\xe1n and Sesma-Solance, Jesus and Bilbao-Jayo, Aritz and Mulero, Rub\xe9n and Zulaika, Unai and Azkune, Gorka and Almeida, Aitor}, month = jun, year = {2019}, keywords = {IF1.787, IoT, Q2, Survey, architecture, co-creation, e-government, smart cities}, pages = {1550147719853984} }']

[u' @inproceedings{zulaika_zurimendi_enhancing_2018, address = {Punta Cana, Republica Dominicana}, title = {Enhancing {Profile} and {Context} {Aware} {Relevant} {Food} {Search} through {Knowledge} {Graphs}}, volume = {2}, isbn = {2504-3900}, doi = {10.3390/proceedings2191228}, abstract = {Foodbar is a Cloud-based gastroevaluation solution, leveraging IBM Watson cognitive services. It brings together machine and human intelligence to enable cognitive gastroevaluation of \u201ctapas\u201d or \u201cpintxos\u201d , i.e., small miniature bites or dishes. Foodbar matchmakes users\u2019 profiles, preferences and context against an elaborated knowledge graph based model of user and machine generated information about food items. This paper reasons about the suitability of this novel way of modelling heterogeneous, with diverse degree of veracity, information to offer more stakeholder satisfying knowledge exploitation solutions, i.e., those offering more relevant and elaborated, directly usable, information to those that want to take decisions regarding food in miniature. An evaluation of the information modelling power of such approach is performed highlighting why such model can offer better more relevant and enriched answers to natural language questions posed by users.}, booktitle = {Proceedings}, publisher = {MDPI}, author = {Zulaika Zurimendi, Unai and Lopez-de-Ipina, Diego and Gutierrez, Asier}, month = dec, year = {2018}, keywords = {data models, foodbar2, knowledge graphs, recommendation systems, smart cities, software architectures}, pages = {1228} }']